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dafishr: Download, Wrangle, and Analyse Vessel Monitoring System Data
Allows to download, clean and analyse raw Vessel Monitoring System, VMS, data from
Mexican government. You can use the vms_download() function to
download raw data, or you can use the sample_dataset provided within
the package. You can follow the tutorial in the vignette available at
<https://cbmc-gcmp.github.io/dafishr/index.html>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
dplyr, fst, ggplot2, lubridate, magrittr, mixtools, readr, readxl, rlang, sf, stringr, tibble, tidyr, tidyselect, utils, vroom |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2022-12-06 |
| Author: |
Fabio Favoretto 
[aut, cre],
Eduardo Leon Solorzano
[ctb] |
| Maintainer: |
Fabio Favoretto <fabio at gocmarineprogram.org> |
| BugReports: |
https://github.com/CBMC-GCMP/dafishr/issues/ |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/CBMC-GCMP/dafishr,
https://cbmc-gcmp.github.io/dafishr/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
dafishr results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=dafishr
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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